Enhancing Long Short-Term Memory Framework Using Hybrid Meta-Heuristic Optimization Techniques for Traffic Flow Forecasting.

Gurusamy R

DOI: 10.1177/2167647x261481477
Published: 2026 Dec
Container: Big data
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/2167647x261481477,
  title = {Enhancing Long Short-Term Memory Framework Using Hybrid Meta-Heuristic Optimization Techniques for Traffic Flow Forecasting.},
  author = {Gurusamy R},
  year = {2026},
  journal = {Big data},
  doi = {10.1177/2167647x261481477},
  url = {https://doi.org/10.1177/2167647x261481477}
}

RIS

TY  - JOUR
TI  - Enhancing Long Short-Term Memory Framework Using Hybrid Meta-Heuristic Optimization Techniques for Traffic Flow Forecasting.
AU  - Gurusamy R
PY  - 2026
JO  - Big data
DO  - 10.1177/2167647x261481477
UR  - https://doi.org/10.1177/2167647x261481477
ER  -

APA

R, G. (2026). Enhancing Long Short-Term Memory Framework Using Hybrid Meta-Heuristic Optimization Techniques for Traffic Flow Forecasting.. Big data. https://doi.org/10.1177/2167647x261481477

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pubmed · retrieved 2026-11-10T13:23:12.765Z